Mechanical properties and damage evolution analysis of stratified backfill with retarder
Bibliographic record
Abstract
To solve the problem of reduced backfill strength caused by stratified filling, three retardants, sodium tripolyphosphate, citric acid, and sucrose, were introduced. Through the uniaxial compression test, the physical characteristics of the stratified filling with different retarders were obtained, and the damage constitutive model was established. The results indicated that the addition of retarders enhances the uniaxial compression strength (UCS) of stratified cemented backfill. The UCS of sucrose reaching 3.5 MPa, representing a 75% increase compared to the group without retarder addition. Combined with the damage curve, compared with the other two retarders, the damage variable ( D) of the backfill containing sucrose accumulates more gently, which is an ideal retarder. A constitutive model for stratified backfill containing retarder was established. It can provide a reference for the design of stratified filling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".